Research Scientist / Engineer – Training Infrastructure
About this role
Luma AI is hiring a remote Research Scientist / Engineer for Training Infrastructure within the European Union to build distributed training systems for large-scale multimodal models. This role suits an engineer with extensive experience solving foundation-model training challenges across massive GPU clusters.
Role Overview
Luma AI seeks a technical professional to create reliable and efficient infrastructure using PyTorch and CUDA. The person in this position enables researchers to innovate by managing advanced parallelism, training stability, and cluster utilization.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Luma AI focuses on creating unified general intelligence capable of generating, understanding, and operating within the physical world. The organization prioritizes multimodality by incorporating vision as a crucial advancement beyond traditional language models. Luma AI operates as an equal opportunity employer.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of this role?
This position is remote within the European Union.
What core technologies are used in this position?
The work involves PyTorch, CUDA, distributed systems, and communication libraries like NCCL and MPI.
What parallelization methods are mentioned for this role?
Methods include FSDP, Tensor Parallel, Pipeline Parallel, and Expert Parallel.
What are the primary goals for the first ninety days?
The initial period involves learning the training stack during days one through thirty, shipping a stability or parallelization improvement between days thirty and sixty, and building monitoring and tooling between days sixty and ninety.